This project aims to develop a forecasting model for predicting the price of gold. The dataset contains historical data on gold prices, including the closing price, volume, opening price, highest price, and lowest price. By analyzing this data and training forecasting models, we aim to predict future gold prices, providing valuable insights for investors and traders in the gold market.
The dataset used in this project is provided in CSV format, containing historical data on gold prices. It consists of the following columns:
Date: Date of the data pointClose: Closing price of goldVolume: Volume of gold tradedOpen: Opening price of goldHigh: Highest price of gold during the dayLow: Lowest price of gold during the day
The forecasting model trained in this project achieves accurate predictions of future gold prices. By analyzing historical data and incorporating relevant features, the model provides valuable insights for gold investors and traders.